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12 days ago
glama

AEE MCP Server

Enables AI-first accessibility testing by investigating pages, explaining findings, and applying fixes via natural language, integrated with Playwright tests and local or cloud AI models.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: AEE_LLM_API_KEY, ANTHROPIC_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretAEE_LLM_API_KEY
configAEE_LLM_BASE_URLPoint at LM Studio (http://localhost:1234/v1), llama.cpp, vLLM, or any OpenAI-compatible endpoint. A local judgment that can't be reached or parsed degrades to UNKNOWN — never a guessed PASS.
configAEE_LLM_MODELexport =gemma4:e4b # any chat model you have pulled
configAEE_LLM_PROVIDER"env": { "": "local" }
configAEE_STORE_DIR
configAEE_VISION_MODEL
🔐 secretANTHROPIC_API_KEYclaude Anthropic Claude (claude-opus-4-8 by default)
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/elizabeth1979-accessibility-engine-009od3)](https://m8ven.ai/mcp/elizabeth1979-accessibility-engine-009od3)
commit: 571bf67b46507600890dadeb483b0d3d44a6aba8
code hash: 035c2bd80f68c293c86bf17b2b20b1303f09471d18fd30afebde5335b2865e4b
verified: 6/25/2026, 9:50:47 AM
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